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_base_ = '../mmdetection/configs/fsaf/fsaf_r50_fpn_1x_coco.py'
# model settings
model = dict(
    bbox_head=dict(
        num_classes=40
    )
)

# transfer learning
# classes = ('person', 'car', 'cat', 'dog', 'train')
classes = ('person','bicycle','motorcycle','train','stop sign','bench','cat','cow','backpack','umbrella',
    'handbag','suitcase','bottle','wine glass','cup','fork','knife','spoon','bowl','apple','orange','broccoli',
    'carrot','cake','chair','potted plant','dining table','toilet','tv','laptop','mouse','keyboard',
    'microwave','oven','toaster','sink','refrigerator','book','clock','vase')    
data = dict(
    train=dict(classes=classes),
    val=dict(classes=classes),
    test=dict(classes=classes)
)